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I Thought We Could Be Friends, but …

2006· article· en· W2032948400 on OpenAlexaff
Jacquie D. Vorauer, Yumiko Sakamoto

Bibliographic record

VenuePsychological Science · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsFriendshipPsychologyWhite (mutation)DistancingSocial psychologyDevelopmental psychologyCoronavirus disease 2019 (COVID-19)

Abstract

fetched live from OpenAlex

This study examined the precursors and consequences of systematic miscommunications regarding relationship interest during intergroup interaction. Pairs of previously unacquainted same-sex students (White-White, White-Chinese, or Chinese-Chinese) engaged in a relatively intimate controlled interaction. White participants who had had little prior contact with Chinese persons were more apt to exhibit a signal-amplification bias (i.e., to perceive that their overtures had conveyed more interest than was actually the case) in intergroup as compared with intragroup exchanges. In contrast, White participants with high levels of prior contact with Chinese persons and Chinese participants did not show enhanced signal amplification in intergroup relative to intragroup exchanges. These results support our hypothesis that lack of intergroup contact experience sets the stage for miscommunications regarding friendship interest. White participants' tendency to feel that they had initially communicated more interest in being friends than their Chinese partner mediated a downward shift in their actual friendship interest over time, suggesting that signal amplification triggers defensive distancing and ultimately lowers the likelihood of cross-group friendship formation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.814
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.005
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.066
GPT teacher head0.424
Teacher spread0.358 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations68
Published2006
Admission routes1
Has abstractyes

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